Maria Luque Anguita
AI Nerd & Programmer, DeepMind Scholar, Investor @ Entrepreneurs First
London, England, United Kingdom
Joined August 2025
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Summary
Maria is a driven AI professional with a strong academic background, holding a DeepMind Scholarship for her MSc in Artificial Intelligence from the University of Edinburgh and a BSc in Computer Science from Edinburgh Napier University. Her academic journey has equipped her with expertise in various programming languages, AI concepts, and both hardware and software development. ac+1
She demonstrates entrepreneurial spirit through her roles as Co-Founder at YAMLRG, a community for ML researchers, and Founder and CTO at Diagonal Centro Quirurgico, where she worked on an AI-powered patient management system. Her current role as a Talent Investor at Entrepreneurs First further underscores her commitment to fostering innovation and supporting new ventures. yamlrg+1
Maria has diverse experience in data engineering, having worked at Elliptic and Secureworks. Her work has touched on crypto and compliance within the data space. She also actively contributes to the tech community as a London City Leader at Nova and has held various demonstrator and tutor positions at universities, showcasing her dedication to education and mentorship. linkedin+2
Her research contributions include co-authoring academic papers on topics such as explainable abuse detection using NLP and machine learning models for estimating emissions reductions in the built environment, highlighting her engagement with cutting-edge AI applications and sustainable practices. mit+2
Work
Education
Projects
Writing
Explainable Abuse Detection as Intent Classification and Slot Filling
December 23, 2022A research paper focused on policy-aware abuse detection using intent classification and slot filling for social media posts, co-authored during her time at the University of Edinburgh.
A Novel Method for Estimating Emissions Reductions Caused by the Circular Economy in Cities
January 1, 2020Academic paper co-authored focusing on methods for estimating emissions reductions, likely leveraging machine learning models.
Enhancing the Practicality of Tools to Estimate the Whole Life Embodied Carbon of Building Structures via Machine Learning Models
January 1, 2020Academic paper co-authored exploring the use of machine learning models to improve the practicality of tools for estimating embodied carbon in building structures.
Notes
HAHenry Allensaid they've seen
MLMaria Luque Anguita
apply their engineering or computer science background in a way that made a big impact on startup operations.Feb 21, 2026
PGPreesha Gehlotsaid they would trust
MLMaria Luque Anguita
to build the data infrastructure for a new startup.Dec 18, 2025
EWElbert Wangsaid that if they needed someone to lead technology operations at a fast-moving company,
MLMaria Luque Anguita
would be one of their top picks.Nov 28, 2025
GAGuillermo Adellsaid
MLMaria Luque Anguita
has been a go-to person for solving tough IT challenges in a university setting.Nov 13, 2025
GAGuillermo Adellsaid they've seen
MLMaria Luque Anguita
actively look for and evaluate new deals in the AI space.Nov 13, 2025
GAGuillermo Adellsaid that if they were looking for a partner in a high-potential alternative investment deal,
MLMaria Luque Anguita
would be at the top of their list.Oct 28, 2025